Efficient method of combining parity groups for uniform load distribution and maximizing parallelization in parity de-clustered and sliced disk raid architecture

1. A method for maximizing parallelization in a parity de-clustered and sliced disk Redundant Array of Independent Disks architecture implemented on at least one hard disk drive, using at least one processor, the method comprising: creating, using the at least one processor, at least one allocation group, each created allocation group comprising at least one parity group within a sliced disk group; selecting, using the at least one processor, one of said at least one created allocation group; and performing, using the at least one processor, at least one of write or read concurrently on all parity groups within the selected allocation group, wherein each of the at least one parity group comprises slices chosen from a subset of disks within the sliced disk group.

2. The method of claim 1 , wherein the sliced disk group comprises disks from the at least one hard disk drive incorporating similar properties, the similar properties comprises at least one of RPM, size, checksum-style, media-type and operating protocol, and the selecting is based on similarity of physical properties of the at least one parity group.

3. The method of claim 1 , wherein the selecting is based on the available space in the sliced disk group.

4. The method of claim 1 , wherein the creating further comprises: determining, using at least one of said at least one processor, if size of the sliced disk group is an integral multiple of size of the parity group; deriving, using the at least one processor, “SDG_rows_per_AG” value based on the determination; and associating, using the at least one processor, each of the at least one allocation group for all parity groups in the sliced disk group based on the derived “SDG_rows_per_AG” value.

5. The method of claim 4 , wherein if the determination is positive, the “SDG_rows_per_AG” value is set to 1.

7. A non-transitory machine-readable medium having stored thereon instructions for performing a method which when executed by at least one processor, causes the processor to: create at least one allocation group, each created allocation group comprising at least one parity group within a sliced disk group; select one of said at least one allocation group; and perform at least one of write or read concurrently on all parity groups within the selected allocation group, wherein each of the at least one parity group comprises slices chosen from a subset of disks within the sliced disk group.

8. The non-transitory machine readable medium of claim 7 , wherein the machine executable code further causes the machine to select the one of said at least one allocation group based on similarity of physical properties of the at least one parity group, wherein the sliced disk group comprises disks from at least one hard disk drive incorporating similar properties, and the similar properties comprises at least one of RPM, size, checksum-style, media-type and operating protocol.

9. The non-transitory machine readable medium of claim 7 , wherein the machine executable code further causes the machine to select the one of said at least one allocation group based on the available space in the sliced disk group.

10. The non-transitory machine readable medium of claim 7 , wherein the machine executable code causes the machine to create the at least one allocation group by further causing the machine to: determine if size of the sliced disk group is an integral multiple of size of the parity group; derive “SDG_rows_per_AG” value based on the determination; and associate each of the at least one allocation group for all parity groups in the sliced disk group based on the derived “SDG_rows_per_AG” value.

11. The non-transitory machine readable medium of claim 10 , wherein if the determination is positive, the “SDG_rows_per_AG” value is set to 1.

13. A computing device, comprising: a memory comprising machine executable code for performing a method of maximizing parallelization in a parity de-clustered and sliced disk Redundant Array of Independent Disks architecture implemented on the at least one hard disk drive; a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to: create at least one allocation group, each created allocation group comprising at least one parity group within a sliced disk group; select one of said at least one allocation group; and perform at least one of write or read concurrently on all parity groups within the selected allocation group, wherein each of the at least one parity group comprises slices chosen from a subset of disks within the sliced disk group.

14. The computer device of claim 13 , wherein the machine executable code further causes the processor to select the one of said at least one allocation group based on similarity of physical properties of the at least one parity group, wherein the sliced disk group comprises disks from at least one hard disk drive incorporating similar properties, and the similar properties comprises at least one of RPM, size, checksum-style, media-type and operating protocol.

15. The computer device of claim 13 , wherein the machine executable code further causes the processor to select the one of said at least one allocation group based on the available space in the sliced disk group.

16. The computer device of claim 13 , wherein the machine executable code causes the processor to create the at least one allocation group by further causing the processor to: determine if size of the sliced disk group is an integral multiple of size of the parity group; derive “SDG_rows_per_AG” value based on the determination; and associate each of the at least one allocation group for all parity groups in the sliced disk group based on the derived “SDG_rows_per_AG” value.

17. The computer device of claim 16 , wherein if the determination is positive, the “SDG_rows_per_AG” value is set to 1.